Data and Network Science for Public Policy

Syllabus Example

Here you can find an example of a Syllabus that I designed for the course titled ‘Data and Network Science for Public Policy’. The full version can be accessed in PDF format.

Course Description

In the era where Big Data has taken center stage, influencing our daily lives, its application in Public Policy is still emerging. This course mirrors the current trend by exploring the realm of applying Data and Network Science for Public Policy objectives, actively contributing to the surge in popularity and adoption of Data Science methodologies.

Welcome to an engaging and introductory journey! This multidisciplinary course is designed for CEU undergraduate students keen on discovering the dynamic applications of Data and Network Science within the realm of Public Policy. Over 12 weeks, the course unfolds in three different parts. First, students learn or review the fundamentals of Public Policy, Data and Network Science, and Artificial Intelligence. Next, the spotlight turns to designing and implementing a Data Science Project tailored to address real-world public policy challenges. Finally, students explore the variety of applications of Data and Network Science usage cases in different Public Policy domains, with topics spanning from Health and Education to Energy and Environment issues.

Upon completing the course, students will design their own Data and Network Science project, tackling a public policy issue of their choice.

Course Objectives

The purpose of this course is to:

  1. Build Comprehensive Understanding: By the end of the initial weeks, students will identify and analyse foundational concepts in Public Policy, Data Science, and Artificial Intelligence, establishing a solid groundwork for informed decision-making in public policy through data-driven insights.

  2. Apply Data Science Techniques: Students will apply their knowledge to design and implement a Data Science Project addressing real-world public policy challenges, evaluating project outcomes critically and completing the implementation within a specified timeframe.

  3. Explore Diverse Applications: Throughout the course, students will identify and analyse patterns in various Data and Network Science applications across public policy domains, evaluating and judging the effectiveness of these applications through case studies.